软件可靠性分析方法研究与应用

软件可靠性分析方法中,SFMEA和SFllA是两种常用的分析方法,为提高软件可靠性发挥了重要作用,在国内型号软件的开发过程中得到了越来越多的关注.针对SFMEA及SFTA方法在应用中存在的难点问题,提出了相应的解决方法,并以某航空发动机控制软件为应用对象进行了实例应用,验证了方法的可行性与有效性.     

Real and Altered Fingerprint Classification Based on Various Features andClassifiers

Biometric recognition refers to the identification of individuals through their unique behavioral features (e.g., fingerprint, face, and iris). We need distinguishing characteristics to identify people, such as fingerprints, which are world-renowned as the most reliable method to identify people. The recognition of fingerprints has become a standard procedure in forensics, and different techniques are available for this purpose. Most current techniques lack interest in image enhancement and rely on high-dimensional features to generate classification models. Therefore, we proposed an effective fingerprint classification method for classifying the fingerprint image as authentic or altered since criminals and hackers routinely change their fingerprints to generate fake ones. In order to improve fingerprint classification accuracy, our proposed method used the most effective texture features and classifiers. Discriminant Analysis (DCA) and Gaussian Discriminant Analysis (GDA) are employed as classifiers, along with Histogram of Oriented Gradient (HOG) and Segmentation-based Feature Texture Analysis (SFTA) feature vectors as inputs. The performance of the classifiers is determined by assessing a range of feature sets, and the most accurate results are obtained. The proposed method is tested using a Sokoto Coventry Fingerprint Dataset (SOCOFing). The SOCOFing project includes 6,000 fingerprint images collected from 600 African people whose fingerprints were taken ten times. Three distinct degrees of obliteration, central rotation, and z-cut have been performed to obtain synthetically altered replicas of the genuine fingerprints. The proposal achieved massive success with a classification accuracy reaching 99%. The experimental results indicate that the proposed method for fingerprint classification is feasible and effective. The experiments also showed that the proposed SFTA-based GDA method outperformed state-of-art approaches in feature dimension and classification accuracy.     

基于SFTA的桥接模式安全性分析

采用软件故障树分析法,通过一个应用桥接模式的实例研究在软件设计中引入设计模式对软件安全性的影响。结果表明,单纯引入桥接模式,软件的安全性约降低50%,但引入设计模式使得软件模块之间解耦合,通过加入双余量设计,可以使软件安全性提高2个数量级。该结论对安全关键软件面向对象的设计具有指导作用。